Image classification is too simplistic as a proxy for evaluating privacy-enhancing technologies across generic vision tasks

This trade-off is commonly evaluated using image classification, which primarily captures semantic separability and remains robust despite significant geometric, spatial layout or local boundary alterations. As a result, it is too simplistic as a proxy for generic vision tasks.

http://arxiv.org/abs/2608.27066v1